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Urban Vulnerability Assessment: Towards a Cross-Scale Spatial Multi-criteria Approach

机译:城市脆弱性评估:迈向跨尺度空间多准则方法

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This paper analyses the issue of urban vulnerability assessment, aiming to identify appropriate strategies to mitigate the impacts of climate change, through decision-making processes that are attentive to the spatial, territorial and geographical scale. In complex decision-making problems, the spatial assessment of homogeneous vulnerability classes can become a useful support for translating the value of vulnerability into intervention priorities and enabling the selection of appropriate intervention alternatives. Urban vulnerability is a complex phenomenon requiring significant and effective indicators that allow an adequate assessment both in quantitative and qualitative terms. Among the different multidimensional approaches present in the literature, as part of the METROPOLIS (Metodologie E Tecnologie integRate e sOstenibili Per 1'adattamentO e La sicurezza del Sistemi urbani) research project, developed by the local unit of the Department of Architecture, University of Naples Federico Ⅱ, the multi-criteria and multi-group analysis method TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) was applied; this method is particularly suitable in complex decisional contexts, such as the level of vulnerability of a territory, where the kind of information relative to the performances to be evaluated presents considerable levels of uncertainty. The integration of the TOPSIS method in the GIS (Geographic Information System) makes it possible to test the opportunities of an integrated and cross-scale evaluation model, by structuring a Spatial Decision Support System (SDSS) applied to the case study of Naples, in the South of Italy.
机译:本文分析了城市脆弱性评估的问题,旨在通过关注空间,领土和地理尺度的决策过程,确定减轻气候变化影响的适当策略。在复杂的决策问题中,同质脆弱性类别的空间评估可以成为将脆弱性的价值转化为干预重点的有效支持,并能够选择适当的干预方案。城市脆弱性是一个复杂的现象,需要重要而有效的指标,才能在数量和质量上进行适当的评估。在文献中介绍的不同多维方法中,那不勒斯大学建筑系地方部门开发的METROPOLIS(每1个方法的综合理论和系统科学研究)的一部分运用FedericoⅡ的多准则和多组分析方法TOPSIS(与理想溶液相似的优先顺序技术);这种方法特别适用于复杂的决策环境,例如区域的脆弱性水平,在这种情况下,与要评估的绩效有关的信息种类存在相当大的不确定性水平。通过构建应用于那不勒斯案例研究的空间决策支持系统(SDSS),可以将TOPSIS方法集成到GIS(地理信息系统)中,从而测试集成和跨尺度评估模型的机会。意大利南部。

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